{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from gs_quant.markets.portfolio import Portfolio\n",
    "from gs_quant.risk import MarketDataShockBasedScenario, MarketDataPattern, MarketDataShock, MarketDataShockType, PnlExplain\n",
    "from gs_quant.markets import PricingContext\n",
    "plt.rcParams['figure.figsize'] = (16, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "from gs_quant.session import GsSession\n",
    "# external users should substitute their client id and secret; please skip this step if using internal jupyterhub\n",
    "GsSession.use(client_id=None, client_secret=None, scopes=('run_analytics', 'read_product_data'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we'll load a portfolio and run analytics to understand it's risk and pnl. We'll also run a number of vol and spot scenarios which we'll use to compute VaR.\n",
    "\n",
    "The content of this notebook is split into the following parts:\n",
    "* [1: First, the portfolio](#1:-First,-the-portfolio)\n",
    "* [2: Run risk and PnL explain](#2:-Run-risk-and-PnL-explain)\n",
    "* [3: Scenarios grid and VaR](#3:-Scenarios-grid-and-VaR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1: First, the portfolio\n",
    "\n",
    "Let’s first load a portfolio from csv, mapping each column and look at it as a dataframe. Internal users can load this books directly using `from book`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>instrument</th>\n",
       "      <th>&lt;gs_quant.target.instrument.FXOption object at 0x0000000019252518&gt;</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>asset_class</th>\n",
       "      <td>AssetClass.FX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>type</th>\n",
       "      <td>AssetType.Option</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>buy_sell</th>\n",
       "      <td>BuySell.Buy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>call_amount</th>\n",
       "      <td>25000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>call_currency</th>\n",
       "      <td>Currency.AUD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expiration_date</th>\n",
       "      <td>2020-10-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expiration_time</th>\n",
       "      <td>NYC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>method_of_settlement</th>\n",
       "      <td>OptionSettlementMethod.Physical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>notional_amount</th>\n",
       "      <td>2.5e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>option_type</th>\n",
       "      <td>OptionType.Call</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pair</th>\n",
       "      <td>AUD USD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>premium</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>premium_currency</th>\n",
       "      <td>Currency.USD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>premium_payment_date</th>\n",
       "      <td>2020-10-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>put_amount</th>\n",
       "      <td>18750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>put_currency</th>\n",
       "      <td>Currency.USD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>settlement_date</th>\n",
       "      <td>2020-10-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>strike_price</th>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "instrument           <gs_quant.target.instrument.FXOption object at 0x0000000019252518>\n",
       "asset_class                                               AssetClass.FX                \n",
       "type                                                   AssetType.Option                \n",
       "buy_sell                                                    BuySell.Buy                \n",
       "call_amount                                                    25000000                \n",
       "call_currency                                              Currency.AUD                \n",
       "expiration_date                                              2020-10-21                \n",
       "expiration_time                                                     NYC                \n",
       "method_of_settlement                    OptionSettlementMethod.Physical                \n",
       "notional_amount                                                 2.5e+07                \n",
       "option_type                                             OptionType.Call                \n",
       "pair                                                            AUD USD                \n",
       "premium                                                               0                \n",
       "premium_currency                                           Currency.USD                \n",
       "premium_payment_date                                         2020-10-23                \n",
       "put_amount                                                     18750000                \n",
       "put_currency                                               Currency.USD                \n",
       "settlement_date                                              2020-10-23                \n",
       "strike_price                                                       0.75                "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mappers = {\n",
    "    'pair': lambda row: row['foreign ccy'] + 'USD',\n",
    "    'notional_amount': 'notional',\n",
    "    'expiration_date': 'expiry',\n",
    "    'option_type': lambda row: 'Call' if row['C/P'] == 'C' else 'Put',\n",
    "    'strike_price': 'strike',\n",
    "    'premium': lambda row: 0\n",
    "}\n",
    "portfolio = Portfolio.from_csv(r'FXBook.csv', mappings=mappers)\n",
    "portfolio.resolve()\n",
    "frame = portfolio.to_frame()\n",
    "frame.index = frame.index.droplevel(0)\n",
    "frame.head(1).transpose()\n",
    "\n",
    "# for internal users:\n",
    "# portfolio = Portfolio.from_book('my_book_id')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2: Run risk and PnL explain\n",
    "\n",
    "With the portfolio in hand, let’s use gs-quant to understand risk and pnl over the last business day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gs_quant.datetime.date import business_day_offset\n",
    "from gs_quant.markets import CloseMarket, PricingContext, close_market_date\n",
    "from gs_quant.risk import Price, DollarPrice, PnlExplain, Theta, FXDelta, FXGamma, FXVega\n",
    "\n",
    "to_date = business_day_offset(close_market_date(), -1)\n",
    "\n",
    "# Previous business day\n",
    "from_date = business_day_offset(to_date, -1)\n",
    "\n",
    "# A risk measure for calculating PnlExplain from that date\n",
    "explain = PnlExplain(CloseMarket(date=to_date))\n",
    "\n",
    "# Calculate PnlExplain and dollar price from 1 day ago\n",
    "with PricingContext(pricing_date=from_date):\n",
    "    result = portfolio.calc((FXDelta, FXGamma, FXVega, DollarPrice, Theta, explain))\n",
    "    \n",
    "# Calculate dollar price with today's market\n",
    "with PricingContext(pricing_date=to_date):\n",
    "    target_price = portfolio.calc((DollarPrice))\n",
    "\n",
    "with PricingContext(pricing_date=from_date, market=CloseMarket(date=to_date)):\n",
    "    target_price_ex_theta = portfolio.calc((DollarPrice))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Risk and 1day Pnl as of 2020-09-04\n",
      "Book PV (in mUSD): 15.8\n",
      "Book Delta (in mUSD): 186\n",
      "Book Vega (in kUSD): 1390\n",
      "Dollar price day on day change (in kUSD): 770\n",
      "Dollar price day on day change(ex theta) (in kUSD): 799\n",
      "Pnl explain total (in kUSD): 799\n",
      "Theta total (in kUSD): -61\n",
      "Theta + Pnl explain total (in kUSD): 738\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mkt_type</th>\n",
       "      <th>mkt_asset</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FX</td>\n",
       "      <td>USD/AUD</td>\n",
       "      <td>775947.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FX EVENTS</td>\n",
       "      <td>USD</td>\n",
       "      <td>-12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FX FWD</td>\n",
       "      <td>USD/AUD</td>\n",
       "      <td>1419.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>FX VOL</td>\n",
       "      <td>USD/AUD</td>\n",
       "      <td>58135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>IR</td>\n",
       "      <td>AUD</td>\n",
       "      <td>-50239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>IR BASIS</td>\n",
       "      <td>AUD OIS/AUD-3M</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>IR BASIS</td>\n",
       "      <td>AUD-3M/AUD-6M</td>\n",
       "      <td>2843.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>IR XC</td>\n",
       "      <td>AUD</td>\n",
       "      <td>11020.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     mkt_type       mkt_asset     value\n",
       "0          FX         USD/AUD  775947.0\n",
       "3   FX EVENTS             USD     -12.0\n",
       "4      FX FWD         USD/AUD    1419.0\n",
       "5      FX VOL         USD/AUD   58135.0\n",
       "6          IR             AUD  -50239.0\n",
       "7    IR BASIS  AUD OIS/AUD-3M      35.0\n",
       "8    IR BASIS   AUD-3M/AUD-6M    2843.0\n",
       "11      IR XC             AUD   11020.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Risk and 1day Pnl as of '+str(from_date))\n",
    "print(f'Book PV (in mUSD): {target_price[DollarPrice].aggregate()/1e6:.1f}')\n",
    "print(f'Book Delta (in mUSD): {result[FXDelta].aggregate().value.sum()/1e6:.0f}')\n",
    "print(f'Book Vega (in kUSD): {result[FXVega].aggregate().value.sum():.0f}')\n",
    "print(f'Dollar price day on day change (in kUSD): {target_price[DollarPrice].aggregate()/1e3 - result[DollarPrice].aggregate()/1e3:.0f}')\n",
    "print(f'Dollar price day on day change(ex theta) (in kUSD): {target_price_ex_theta[DollarPrice].aggregate()/1e3 - result[DollarPrice].aggregate()/1e3:.0f}')\n",
    "print(f'Pnl explain total (in kUSD): {result[explain].aggregate().value.sum()/1e3:.0f}')\n",
    "print(f'Theta total (in kUSD): {result[Theta].aggregate().value.sum()/1e3:.0f}')\n",
    "print(f'Theta + Pnl explain total (in kUSD): {result[Theta].aggregate().value.sum()/1e3 + result[explain].aggregate().value.sum()/1e3:.0f}')\n",
    "\n",
    "# Show the PnlExplain breakdown\n",
    "explain_all = result[explain].aggregate()\n",
    "explain_all[explain_all.value.abs() > 1.0].round(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3: Scenarios grid and VaR\n",
    "\n",
    "We can also better understand risk by applying a number of market shocks – in this case we’ll look at a grid of vol and spot shocks, we are can also use to calculate VaR by looking at the 95% percentile price change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "shocks_fx = [-10, -7.5, -5, -2,-1, 0, 1, 2, 5, 7.5, 10]\n",
    "shocks_vols = [-5, -2, -1, -0.5, 0, 0.5, 1, 2, 5, 7.5, 10]\n",
    "shocked_prices = pd.DataFrame(index=shocks_vols, columns=shocks_fx)\n",
    "\n",
    "cross = explain_all[explain_all['mkt_type'] == 'FX']['mkt_asset'][0]\n",
    "\n",
    "with PricingContext(is_async=True):\n",
    "    for fx in shocks_fx:\n",
    "        for vol in shocks_vols:\n",
    "            with MarketDataShockBasedScenario({\n",
    "                MarketDataPattern('FX', cross): MarketDataShock(MarketDataShockType.Proportional, fx / 1e2),\n",
    "                MarketDataPattern('FX Vol', cross, 'ATM Vol'): MarketDataShock(MarketDataShockType.Absolute, vol / 1e2),\n",
    "            }):\n",
    "                shocked_prices[fx][vol] = portfolio.calc((DollarPrice))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Aggregate and compute pnl by substracting 0 shock PV\n",
    "shocked_prices_res = pd.DataFrame(index=shocks_vols, columns=shocks_fx, dtype='float')\n",
    "\n",
    "for fx in shocks_fx:\n",
    "    for vol in shocks_vols:\n",
    "        shocked_prices_res[fx][vol] = shocked_prices[fx][vol].aggregate()\n",
    "        \n",
    "shocked_prices_res -= shocked_prices[0][0].aggregate()\n",
    "shocked_prices_res /= 1e3\n",
    "\n",
    "ax = sns.heatmap(shocked_prices_res, cmap='coolwarm', annot=True, fmt='.1f')\n",
    "ax.set(ylabel='absolute vol point moves', xlabel='% spot change', title='PV changes ($k)')\n",
    "ax.xaxis.tick_top()\n",
    "ax.xaxis.set_label_position('top')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute VaR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Portfolio base price ($m):   15.2\n",
      "Scenario Based VaR with spot/vol grid ($m): -10.7\n"
     ]
    }
   ],
   "source": [
    "p = np.percentile(shocked_prices_res, 5)  # return 95th percentile\n",
    "print('Portfolio base price ($m):   {:,.1f}'.format(portfolio.price().aggregate()/1e6))\n",
    "print('Scenario Based VaR with spot/vol grid ($m): {:,.1f}'.format(p/1e3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Disclaimers\n",
    "\n",
    "Scenarios/predictions: Simulated results are for illustrative purposes only. GS provides no assurance or guarantee that the strategy will operate or would have operated in the past in a manner consistent with the above analysis. Past performance figures are not a reliable indicator of future results.\n",
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    "\n",
    "OTC Derivatives Risk Disclosures: \n",
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    " \n",
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    " \n",
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    " \n",
    "Early Termination Payments: The provisions of an OTC Derivative Transaction may allow for early termination and, in such cases, either you or Goldman Sachs may be required to make a potentially significant termination payment depending upon whether the OTC Derivative Transaction is in-the-money to Goldman Sachs or you at the time of termination. Indexes: Goldman Sachs does not warrant, and takes no responsibility for, the structure, method of computation or publication of any currency exchange rates, interest rates, indexes of such rates, or credit, equity or other indexes, unless Goldman Sachs specifically advises you otherwise.\n",
    "Risk Disclosure Regarding futures, options, equity swaps, and other derivatives as well as non-investment-grade securities and ADRs: Please ensure that you have read and understood the current options, futures and security futures disclosure document before entering into any such transactions. Current United States listed options, futures and security futures disclosure documents are available from our sales representatives or at http://www.theocc.com/components/docs/riskstoc.pdf,  http://www.goldmansachs.com/disclosures/risk-disclosure-for-futures.pdf and https://www.nfa.futures.org/investors/investor-resources/files/security-futures-disclosure.pdf, respectively. Certain transactions - including those involving futures, options, equity swaps, and other derivatives as well as non-investment-grade securities - give rise to substantial risk and are not available to nor suitable for all investors. If you have any questions about whether you are eligible to enter into these transactions with Goldman Sachs, please contact your sales representative. Foreign-currency-denominated securities are subject to fluctuations in exchange rates that could have an adverse effect on the value or price of, or income derived from, the investment. In addition, investors in securities such as ADRs, the values of which are influenced by foreign currencies, effectively assume currency risk.\n",
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    "Standard & Poor's ® and S&P ® are registered trademarks of The McGraw-Hill Companies, Inc. and S&P GSCI™ is a trademark of The McGraw-Hill Companies, Inc. and have been licensed for use by the Issuer. This Product (the \"Product\") is not sponsored, endorsed, sold or promoted by S&P and S&P makes no representation, warranty or condition regarding the advisability of investing in the Product.\n",
    "Notice to Brazilian Investors\n",
    "Marquee is not meant for the general public in Brazil. The services or products provided by or through Marquee, at any time, may not be offered or sold to the general public in Brazil. You have received a password granting access to Marquee exclusively due to your existing relationship with a GS business located in Brazil. The selection and engagement with any of the offered services or products through Marquee, at any time, will be carried out directly by you. Before acting to implement any chosen service or products, provided by or through Marquee you should consider, at your sole discretion, whether it is suitable for your particular circumstances and, if necessary, seek professional advice. Any steps necessary in order to implement the chosen service or product, including but not limited to remittance of funds, shall be carried out at your discretion. Accordingly, such services and products have not been and will not be publicly issued, placed, distributed, offered or negotiated in the Brazilian capital markets and, as a result, they have not been and will not be registered with the Brazilian Securities and Exchange Commission (Comissão de Valores Mobiliários), nor have they been submitted to the foregoing agency for approval. Documents relating to such services or products, as well as the information contained therein, may not be supplied to the general public in Brazil, as the offering of such services or products is not a public offering in Brazil, nor used in connection with any offer for subscription or sale of securities to the general public in Brazil.\n",
    "The offer of any securities mentioned in this message may not be made to the general public in Brazil. Accordingly, any such securities have not been nor will they be registered with the Brazilian Securities and Exchange Commission (Comissão de Valores Mobiliários) nor has any offer been submitted to the foregoing agency for approval. Documents relating to the offer, as well as the information contained therein, may not be supplied to the public in Brazil, as the offer is not a public offering of securities in Brazil. These terms will apply on every access to Marquee.\n",
    "Ouvidoria Goldman Sachs Brasil: 0800 727 5764 e/ou ouvidoriagoldmansachs@gs.com\n",
    "Horário de funcionamento: segunda-feira à sexta-feira (exceto feriados), das 9hs às 18hs.\n",
    "Ombudsman Goldman Sachs Brazil: 0800 727 5764 and / or ouvidoriagoldmansachs@gs.com\n",
    "Available Weekdays (except holidays), from 9 am to 6 pm.\n",
    "\n"
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